DATA INTELLIGENCE IN THE CONTEXT OF BIG DATA: A SURVEY

摘要

Mining Big Data is the capability of finding new useful information in complex massive datasets, that may be continuously changing and may have varied data types. Big data is helpful only when it is transformed into knowledge or useful information. Data Intelligence is about transforming data into information, information into knowledge, and knowledge into value. It refers to the intelligent interaction with data in a rich, semantically meaningful ways, where data is used to learn and to obtain knowledge. However, extracting valuable information from this data by following the classical Knowledge Discovery process reveals new previously unknown challenges, due to Big Data properties. These challenges have received a lot of attention in recent years, and still need more and more contribution and research. A large number of publications have yielded a plethora of proposed methods and algorithms. In this paper, we provide a comprehensive literature review on Big Data current status. We present the Data Intelligence framework in the context of Big Data from data acquisition until insight extraction, we highlight its main issues, and identify its progress in both technological and algorithmic perspectives. We summarize and analyse relevant research papers in the field, collected from different scientific databases. This investigation will help researchers to understand the current status of Data Intelligence, discover new research opportunities, and gain information about this field.